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This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (5404) Participatory Medicine & E-Patients (1011) Development and Evaluation of Research Methods, Instruments and Tools (1441) Chatbots and Conversational Agents (1248) Artificial Intelligence (5054)

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68223, first published .
Doctor using laptop for telemedicine consultation, reviewing patient data

Fact-Checking Large Language Model Responses to a Health Care Prompt: Comparative Study

Fact-Checking Large Language Model Responses to a Health Care Prompt: Comparative Study

Authors of this article:

Padhraig Ryan1 Author Orcid Image ;   Orla Davoren Author Orcid Image ;   Glyn Elwyn2 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Dinc R, Ardic N. Self-evaluative reliability: a missing safety property in adaptive clinical AI governance. Frontiers in Artificial Intelligence 2026;9 View
  2. Zhang L, Liang L, Peng X, Liu S, Zhong L, Li Z. Reliability and readability of five large language models in answering patient-oriented questions about rectal prolapse: a comparative study. Frontiers in Medicine 2026;13 View